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Full Stack Ai Engineer Jobs in Atlanta, GA (NOW HIRING)

About Ntegral Ntegral is an AI-first technology company specializing in cloud marketplace solutions ... Position Overview Ntegral is seeking a Full Stack Developer to own the development and ongoing ...

Description We're looking for an experienced Full stack Integration Engineer to help build the next ... Develop integrations with Azure OpenAI, Azure AI Speech, and other AI/ML services for transcription ...

Full Stack Software Engineer

Roswell, GA · On-site

$80K - $100K/yr

We want someone who is AI-first in their development practice. That means more than shipping AI ... What we are looking for: * 6+ years building production full-stack software, with a track record of ...

At Evident, we're looking for a full stack engineer who can own a feature from database to UI -- ... Use AI coding assistants and LLM‑powered workflows as a genuine part of how you build -- across ...

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Awareness of AI / GenAI use cases in analytics or automation. Preferred Qualifications 1. Master ...

We are seeking a Full Stack Engineer to design, develop, integrate, and support enterprise ... Awareness of AI / GenAI use cases in analytics or automation. Preferred Qualifications 1. Master ...

Showing results 41-60

Full Stack Ai Engineer information

See Atlanta, GA salary details

$42.8K

$129.6K

$183.2K

How much do full stack ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full stack ai engineer in Atlanta, GA is $129,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What job categories do people searching Full Stack Ai Engineer jobs in Atlanta, GA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Stack Ai Engineer jobs?

Cities near Atlanta, GA with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $129,602 per year, or $62.3 per hour.

Senior Full Stack Engineer (React/Node, AWS) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago


Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Full Stack Engineer (React/Node, AWS)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a seasoned Senior Full Stack Engineer to develop end-to-end solutions using React and Node.js, with a focus on AWS-hosted microservices and serverless architectures. This role emphasizes building scalable, cloud-native applications.
Key Responsibilities
  • Develop responsive frontends with React and robust backend services using Node.js.
  • Design and implement microservices or serverless architectures on AWS for scalable applications.
  • Integrate RESTful APIs to connect frontend and backend systems seamlessly.
  • Deploy applications using AWS services like Lambda, ECS, or Fargate for cloud efficiency.
  • Optimize full stack solutions for performance, security, and cost-effectiveness.
  • Collaborate with teams to ensure high-quality delivery across all application layers.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in full stack development with React and Node.js, focusing on AWS.
  • Proficiency in building microservices or serverless applications with REST APIs.
  • Experience with AWS cloud services (e.g., Lambda, S3, API Gateway) for deployment and scaling.
  • Strong understanding of full stack development practices and cloud integration.

Preferred Qualifications
  • Familiarity with other cloud platforms like Azure or GCP for multi-cloud expertise.
  • Exposure to advanced AWS tools like Step Functions or AppSync for serverless workflows.
  • Knowledge of CI/CD tools like Jenkins for automated full stack deployments.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Full Stack, React, Node.js, AWS, Microservices, Serverless, REST APIs